A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health

A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome’s functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, bu...

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Main Authors: Andrew Hatch, James Horne, Ryan Toma, Brittany L. Twibell, Kalie M. Somerville, Benjamin Pelle, Kinga P. Canfield, Matvey Genkin, Guruduth Banavar, Ally Perlina, Helen Messier, Niels Klitgord, Momchilo Vuyisich
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2019/1718741
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author Andrew Hatch
James Horne
Ryan Toma
Brittany L. Twibell
Kalie M. Somerville
Benjamin Pelle
Kinga P. Canfield
Matvey Genkin
Guruduth Banavar
Ally Perlina
Helen Messier
Niels Klitgord
Momchilo Vuyisich
author_facet Andrew Hatch
James Horne
Ryan Toma
Brittany L. Twibell
Kalie M. Somerville
Benjamin Pelle
Kinga P. Canfield
Matvey Genkin
Guruduth Banavar
Ally Perlina
Helen Messier
Niels Klitgord
Momchilo Vuyisich
author_sort Andrew Hatch
collection DOAJ
description A functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome’s functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, but despite its usefulness, it has rarely been used in clinical studies due to its complexity, cost, and bioinformatic challenges. This method has also received criticism due to potential intrasample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, called Viomega, which was specifically developed for population-scale studies. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. We applied this method to 10,000 human stool samples and performed several small-scale studies to demonstrate sample stability and consistency. In summary, Viomega is an inexpensive, high-throughput, automated, and accurate sample-to-result stool metatranscriptomic technology platform for large-scale studies and a wide range of applications.
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spelling doaj-art-c8604d38b0d64ed8ada94fb02899be6e2025-02-03T01:10:23ZengWileyInternational Journal of Genomics2314-436X2314-43782019-01-01201910.1155/2019/17187411718741A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human HealthAndrew Hatch0James Horne1Ryan Toma2Brittany L. Twibell3Kalie M. Somerville4Benjamin Pelle5Kinga P. Canfield6Matvey Genkin7Guruduth Banavar8Ally Perlina9Helen Messier10Niels Klitgord11Momchilo Vuyisich12Viome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAViome Inc., Los Alamos, NM 87544, USAA functional readout of the gut microbiome is necessary to enable precise control of the gut microbiome’s functions, which support human health and prevent or minimize a wide range of chronic diseases. Stool metatranscriptomic analysis offers a comprehensive functional view of the gut microbiome, but despite its usefulness, it has rarely been used in clinical studies due to its complexity, cost, and bioinformatic challenges. This method has also received criticism due to potential intrasample variability, rapid changes, and RNA degradation. Here, we describe a robust and automated stool metatranscriptomic method, called Viomega, which was specifically developed for population-scale studies. Viomega includes sample collection, ambient temperature sample preservation, total RNA extraction, physical removal of ribosomal RNAs (rRNAs), preparation of directional Illumina libraries, Illumina sequencing, taxonomic classification based on a database of >110,000 microbial genomes, and quantitative microbial gene expression analysis using a database of ~100 million microbial genes. We applied this method to 10,000 human stool samples and performed several small-scale studies to demonstrate sample stability and consistency. In summary, Viomega is an inexpensive, high-throughput, automated, and accurate sample-to-result stool metatranscriptomic technology platform for large-scale studies and a wide range of applications.http://dx.doi.org/10.1155/2019/1718741
spellingShingle Andrew Hatch
James Horne
Ryan Toma
Brittany L. Twibell
Kalie M. Somerville
Benjamin Pelle
Kinga P. Canfield
Matvey Genkin
Guruduth Banavar
Ally Perlina
Helen Messier
Niels Klitgord
Momchilo Vuyisich
A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
International Journal of Genomics
title A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_full A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_fullStr A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_full_unstemmed A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_short A Robust Metatranscriptomic Technology for Population-Scale Studies of Diet, Gut Microbiome, and Human Health
title_sort robust metatranscriptomic technology for population scale studies of diet gut microbiome and human health
url http://dx.doi.org/10.1155/2019/1718741
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